I've used HLM6 to run a large number of mixed effects models,
each model producing an ASCII file which contains the fixed
effects and variance-covariance matrix. There are 60+ variables,
but for whatever reason HLM6 only writes 60 values per line,
so one ASCII file (with 65 terms) looks like this
F1 F2 .. .... ... F60
F61 F62 F63 F64 F65 // 65 coeffs on two rows
V11 V12 .. .... ... V160
V161 V162 V163 V164 V165 // then 65x65 VC entries on
V21 V22 .. .... ... V260 // 2 x 65 lines
V261 V262 V263 V264 V265
.
.
.
V651 V652 .. .... ... V6560 // last row of VC matrix on
V6561 V6562 V6563 V6564 V6565 // two lines
(where the ASCII file doesn't have the comments).
Since this is a fairly rigid format that depends only on
N, the number of covariates, I thought it would be a small
matter to -infile- this with a -dct- file and store it as
a matrix. However, -infile- requires me to write out every
single variable name, and to modify the number of variables
in the -dct- file according to the number of covariates.
In the past, I have used PERL to parse these files, but
I'm doing this on a new box and figured instead of reinstalling
PERL I'd try to sort it out in Stata. Is there an easier way
convert this file to a matrix (actually a vector for the first
two lines and a matrix for the remainder)?
Thanks for any suggestions.
Jeph
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